Dataset: heart_disease (classification)
Penalty: 0.1
Seed: 42
Best fitness: -0.598599976135649
Final val loss: 0.64300217
Final penalty: 0.02325311
Model saved to: exp_1/logs/classification/heart_disease/CONN_LAYER_ADD_PROB/CONN_LAYER_ADD_PROB=1/models/best_model_penalty_0.1_seed_42.pth

Final architecture & hyperparameters:
  num_layers: 4
  layer_sizes: [8, 26, 27, 2]
  activations: [3, 2, 1, 4]
  dropout_rates: [0.14, 0.171, 0.328, 0.043]
  batch_norms: [1, 1, 0, 1]
  learning_rate: 0.0278
  batch_size: 64
  patience: 21
  optimizer_type: 2
  init_type: 0
  l2_penalty: 0.0

Validation metrics (final):
  accuracy: 60.0
  precision: 27.399999999999995
  recall: 30.833333333333336
  f1_score: 28.775510204081634
  confusion_matrix: [[23, 1, 0, 0, 0], [2, 2, 3, 1, 0], [0, 4, 2, 0, 0], [0, 1, 4, 0, 0], [0, 0, 1, 1, 0]]
  num_classes: 5
  class_distribution: {0: 24, 1: 8, 2: 6, 3: 5, 4: 2}

Test metrics (final):
  accuracy: 60.86956521739131
  precision: 22.666666666666664
  recall: 35.199999999999996
  f1_score: 26.86631016042781
  confusion_matrix: [[24, 0, 1, 0, 0], [6, 0, 2, 1, 0], [0, 1, 4, 0, 0], [0, 1, 4, 0, 0], [0, 1, 1, 0, 0]]
  num_classes: 5
  class_distribution: {0: 25, 1: 9, 2: 5, 3: 5, 4: 2}
